10. KDD 2004:
Seattle,
WA,
USA
Won Kim, Ron Kohavi, Johannes Gehrke, William DuMouchel (Eds.):
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004.
ACM 2004, ISBN 1-58113-888-1 BibTeX
@proceedings{DBLP:conf/kdd/2004,
editor = {Won Kim and
Ron Kohavi and
Johannes Gehrke and
William DuMouchel},
title = {Proceedings of the Tenth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining, Seattle, Washington,
USA, August 22-25, 2004},
booktitle = {KDD},
publisher = {ACM},
year = {2004},
isbn = {1-58113-888-1},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Research track papers
- Naoki Abe, Bianca Zadrozny, John Langford:
An iterative method for multi-class cost-sensitive learning.
3-11
Electronic Edition (ACM DL) BibTeX
- Foto N. Afrati, Aristides Gionis, Heikki Mannila:
Approximating a collection of frequent sets.
12-19
Electronic Edition (ACM DL) BibTeX
- Eugene Agichtein, Venkatesh Ganti:
Mining reference tables for automatic text segmentation.
20-29
Electronic Edition (ACM DL) BibTeX
- Edoardo Airoldi, Christos Faloutsos:
Recovering latent time-series from their observed sums: network tomography with particle filters.
30-39
Electronic Edition (ACM DL) BibTeX
- Brigham Anderson, Andrew W. Moore, Andrew Connolly, Robert Nichol:
Fast nonlinear regression via eigenimages applied to galactic morphology.
40-48
Electronic Edition (ACM DL) BibTeX
- Anthony J. Bagnall, Gareth J. Janacek:
Clustering time series from ARMA models with clipped data.
49-58
Electronic Edition (ACM DL) BibTeX
- Sugato Basu, Mikhail Bilenko, Raymond J. Mooney:
A probabilistic framework for semi-supervised clustering.
59-68
Electronic Edition (ACM DL) BibTeX
- Rich Caruana, Alexandru Niculescu-Mizil:
Data mining in metric space: an empirical analysis of supervised learning performance criteria.
69-78
Electronic Edition (ACM DL) BibTeX
- Deepayan Chakrabarti, Spiros Papadimitriou, Dharmendra S. Modha, Christos Faloutsos:
Fully automatic cross-associations.
79-88
Electronic Edition (ACM DL) BibTeX
- William W. Cohen, Sunita Sarawagi:
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods.
89-98
Electronic Edition (ACM DL) BibTeX
- Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. Sanghai, Deepak Verma:
Adversarial classification.
99-108
Electronic Edition (ACM DL) BibTeX
- Theodoros Evgeniou, Massimiliano Pontil:
Regularized multi--task learning.
109-117
Electronic Edition (ACM DL) BibTeX
- Christos Faloutsos, Kevin S. McCurley, Andrew Tomkins:
Fast discovery of connection subgraphs.
118-127
Electronic Edition (ACM DL) BibTeX
- Wei Fan:
Systematic data selection to mine concept-drifting data streams.
128-137
Electronic Edition (ACM DL) BibTeX
- Krishna Gade, Jianyong Wang, George Karypis:
Efficient closed pattern mining in the presence of tough block constraints.
138-147
Electronic Edition (ACM DL) BibTeX
- Bin He, Kevin Chen-Chuan Chang, Jiawei Han:
Discovering complex matchings across web query interfaces: a correlation mining approach.
148-157
Electronic Edition (ACM DL) BibTeX
- Tamás Horváth, Thomas Gärtner, Stefan Wrobel:
Cyclic pattern kernels for predictive graph mining.
158-167
Electronic Edition (ACM DL) BibTeX
- Minqing Hu, Bing Liu:
Mining and summarizing customer reviews.
168-177
Electronic Edition (ACM DL) BibTeX
- Szymon Jaroszewicz, Dan A. Simovici:
Interestingness of frequent itemsets using Bayesian networks as background knowledge.
178-186
Electronic Edition (ACM DL) BibTeX
- Glen Jeh, Jennifer Widom:
Mining the space of graph properties.
187-196
Electronic Edition (ACM DL) BibTeX
- Xin Jin, Yanzan Zhou, Bamshad Mobasher:
Web usage mining based on probabilistic latent semantic analysis.
197-205
Electronic Edition (ACM DL) BibTeX
- Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana:
Towards parameter-free data mining.
206-215
Electronic Edition (ACM DL) BibTeX
- Ravi Kumar, Uma Mahadevan, D. Sivakumar:
A graph-theoretic approach to extract storylines from search results.
216-225
Electronic Edition (ACM DL) BibTeX
- Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wang:
Incremental maintenance of quotient cube for median.
226-235
Electronic Edition (ACM DL) BibTeX
- Nikos Mamoulis, Huiping Cao, George Kollios, Marios Hadjieleftheriou, Yufei Tao, David W. Cheung:
Mining, indexing, and querying historical spatiotemporal data.
236-245
Electronic Edition (ACM DL) BibTeX
- Ion Muslea:
Machine learning for online query relaxation.
246-255
Electronic Edition (ACM DL) BibTeX
- Daniel B. Neill, Andrew W. Moore:
Rapid detection of significant spatial clusters.
256-265
Electronic Edition (ACM DL) BibTeX
- Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malcolm Potts, Richard F. Helm:
Turning CARTwheels: an alternating algorithm for mining redescriptions.
266-275
Electronic Edition (ACM DL) BibTeX
- Jude W. Shavlik, Mark Shavlik:
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage.
276-285
Electronic Edition (ACM DL) BibTeX
- Andrew T. Smith, Charles Elkan:
A Bayesian network framework for reject inference.
286-295
Electronic Edition (ACM DL) BibTeX
- Michael Steinbach, Pang-Ning Tan, Vipin Kumar:
Support envelopes: a technique for exploring the structure of association patterns.
296-305
Electronic Edition (ACM DL) BibTeX
- Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas L. Griffiths:
Probabilistic author-topic models for information discovery.
306-315
Electronic Edition (ACM DL) BibTeX
- Chen Wang, Wei Wang, Jian Pei, Yongtai Zhu, Baile Shi:
Scalable mining of large disk-based graph databases.
316-325
Electronic Edition (ACM DL) BibTeX
- Xiaoyun Wu, Rohini K. Srihari:
Incorporating prior knowledge with weighted margin support vector machines.
326-333
Electronic Edition (ACM DL) BibTeX
- Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar:
Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs.
334-343
Electronic Edition (ACM DL) BibTeX
- Guizhen Yang:
The complexity of mining maximal frequent itemsets and maximal frequent patterns.
344-353
Electronic Edition (ACM DL) BibTeX
- Jieping Ye, Ravi Janardan, Qi Li:
GPCA: an efficient dimension reduction scheme for image compression and retrieval.
354-363
Electronic Edition (ACM DL) BibTeX
- Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar:
IDR/QR: an incremental dimension reduction algorithm via QR decomposition.
364-373
Electronic Edition (ACM DL) BibTeX
- Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin:
On the discovery of significant statistical quantitative rules.
374-383
Electronic Edition (ACM DL) BibTeX
- Xin Zhang, Nikos Mamoulis, David W. Cheung, Yutao Shou:
Fast mining of spatial collocations.
384-393
Electronic Edition (ACM DL) BibTeX
Industry/government track papers
- Kamal Ali, Wijnand van Stam:
TiVo: making show recommendations using a distributed collaborative filtering architecture.
394-401
Electronic Edition (ACM DL) BibTeX
- Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko Krema:
Predicting customer shopping lists from point-of-sale purchase data.
402-409
Electronic Edition (ACM DL) BibTeX
- Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee:
A rank sum test method for informative gene discovery.
410-419
Electronic Edition (ACM DL) BibTeX
- Steve Donoho:
Early detection of insider trading in option markets.
420-429
Electronic Edition (ACM DL) BibTeX
- Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang:
Mining coherent gene clusters from gene-sample-time microarray data.
430-439
Electronic Edition (ACM DL) BibTeX
- Tsuyoshi Idé, Hisashi Kashima:
Eigenspace-based anomaly detection in computer systems.
440-449
Electronic Edition (ACM DL) BibTeX
- Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath:
Effective localized regression for damage detection in large complex mechanical structures.
450-459
Electronic Edition (ACM DL) BibTeX
- Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom:
Visually mining and monitoring massive time series.
460-469
Electronic Edition (ACM DL) BibTeX
- Jeremy Z. Kolter, Marcus A. Maloof:
Learning to detect malicious executables in the wild.
470-478
Electronic Edition (ACM DL) BibTeX
- Lian Yan, David Verbel, Olivier Saidi:
Predicting prostate cancer recurrence via maximizing the concordance index.
479-485
Electronic Edition (ACM DL) BibTeX
- Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki:
Density-based spam detector.
486-493
Electronic Edition (ACM DL) BibTeX
- Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller:
V-Miner: using enhanced parallel coordinates to mine product design and test data.
494-502
Electronic Edition (ACM DL) BibTeX
Research track posters
- Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu:
On demand classification of data streams.
503-508
Electronic Edition (ACM DL) BibTeX
- Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha:
A generalized maximum entropy approach to bregman co-clustering and matrix approximation.
509-514
Electronic Edition (ACM DL) BibTeX
- Arindam Banerjee, John Langford:
An objective evaluation criterion for clustering.
515-520
Electronic Edition (ACM DL) BibTeX
- Jinbo Bi, Tong Zhang, Kristin P. Bennett:
Column-generation boosting methods for mixture of kernels.
521-526
Electronic Edition (ACM DL) BibTeX
- Hong Cheng, Xifeng Yan, Jiawei Han:
IncSpan: incremental mining of sequential patterns in large database.
527-532
Electronic Edition (ACM DL) BibTeX
- James Chilson, Raymond T. Ng, Alan Wagner, Ruben H. Zamar:
Parallel computation of high dimensional robust correlation and covariance matrices.
533-538
Electronic Edition (ACM DL) BibTeX
- Kaustav Das, Andrew W. Moore, Jeff G. Schneider:
Belief state approaches to signaling alarms in surveillance systems.
539-544
Electronic Edition (ACM DL) BibTeX
- Ian Davidson, Goutam Paul:
Locating secret messages in images.
545-550
Electronic Edition (ACM DL) BibTeX
- Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis:
Kernel k-means: spectral clustering and normalized cuts.
551-556
Electronic Edition (ACM DL) BibTeX
- Martin Ester, Rong Ge, Wen Jin, Zengjian Hu:
A microeconomic data mining problem: customer-oriented catalog segmentation.
557-562
Electronic Edition (ACM DL) BibTeX
- Bobi Gilburd, Assaf Schuster, Ran Wolff:
k-TTP: a new privacy model for large-scale distributed environments.
563-568
Electronic Edition (ACM DL) BibTeX
- Giles Hooker:
Diagnosing extrapolation: tree-based density estimation.
569-574
Electronic Edition (ACM DL) BibTeX
- Giles Hooker:
Discovering additive structure in black box functions.
575-580
Electronic Edition (ACM DL) BibTeX
- Jun Huan, Wei Wang, Jan Prins, Jiong Yang:
SPIN: mining maximal frequent subgraphs from graph databases.
581-586
Electronic Edition (ACM DL) BibTeX
- Vijay S. Iyengar:
On detecting space-time clusters.
587-592
Electronic Edition (ACM DL) BibTeX
- David Jensen, Jennifer Neville, Brian Gallagher:
Why collective inference improves relational classification.
593-598
Electronic Edition (ACM DL) BibTeX
- Murat Kantarcioglu, Jiashun Jin, Chris Clifton:
When do data mining results violate privacy?
599-604
Electronic Edition (ACM DL) BibTeX
- Aleksander Kolcz, Abdur Chowdhury, Joshua Alspector:
Improved robustness of signature-based near-replica detection via lexicon randomization.
605-610
Electronic Edition (ACM DL) BibTeX
- Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agrawal:
Learning spatially variant dissimilarity (SVaD) measures.
611-616
Electronic Edition (ACM DL) BibTeX
- Yifan Li, Jiawei Han, Jiong Yang:
Clustering moving objects.
617-622
Electronic Edition (ACM DL) BibTeX
- Jinze Liu, Wei Wang, Jiong Yang:
A framework for ontology-driven subspace clustering.
623-628
Electronic Edition (ACM DL) BibTeX
- Ting Liu, Ke Yang, Andrew W. Moore:
The IOC algorithm: efficient many-class non-parametric classification for high-dimensional data.
629-634
Electronic Edition (ACM DL) BibTeX
- Avraham A. Melkman, Eran Shaham:
Sleeved coclustering.
635-640
Electronic Edition (ACM DL) BibTeX
- Apostol Natsev, Milind R. Naphade, John R. Smith:
Semantic representation: search and mining of multimedia content.
641-646
Electronic Edition (ACM DL) BibTeX
- Siegfried Nijssen, Joost N. Kok:
A quickstart in frequent structure mining can make a difference.
647-652
Electronic Edition (ACM DL) BibTeX
- Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos, Pinar Duygulu:
Automatic multimedia cross-modal correlation discovery.
653-658
Electronic Edition (ACM DL) BibTeX
- David Poole:
Estimating the size of the telephone universe: a Bayesian Mark-recapture approach.
659-664
Electronic Edition (ACM DL) BibTeX
- Alexandrin Popescul, Lyle H. Ungar:
Cluster-based concept invention for statistical relational learning.
665-670
Electronic Edition (ACM DL) BibTeX
- Paat Rusmevichientong, Shenghuo Zhu, David Selinger:
Identifying early buyers from purchase data.
671-677
Electronic Edition (ACM DL) BibTeX
- Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerome P. Reiter:
Privacy preserving regression modelling via distributed computation.
677-682
Electronic Edition (ACM DL) BibTeX
- Jouni K. Seppänen, Heikki Mannila:
Dense itemsets.
683-688
Electronic Edition (ACM DL) BibTeX
- Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar:
Generalizing the notion of support.
689-694
Electronic Edition (ACM DL) BibTeX
- Pang-Ning Tan, Rong Jin:
Ordering patterns by combining opinions from multiple sources.
695-700
Electronic Edition (ACM DL) BibTeX
- Peter Tiño, Ata Kabán, Yi Sun:
A generative probabilistic approach to visualizing sets of symbolic sequences.
701-706
Electronic Edition (ACM DL) BibTeX
- Michail Vlachos, Dimitrios Gunopulos, Gautam Das:
Rotation invariant distance measures for trajectories.
707-712
Electronic Edition (ACM DL) BibTeX
- Rebecca N. Wright, Zhiqiang Yang:
Privacy-preserving Bayesian network structure computation on distributed heterogeneous data.
713-718
Electronic Edition (ACM DL) BibTeX
- Andrew Y. Wu, Michael Garland, Jiawei Han:
Mining scale-free networks using geodesic clustering.
719-724
Electronic Edition (ACM DL) BibTeX
- Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, Hua Li, Zheng Chen, Wensi Xi, Weiguo Fan, Wei-Ying Ma, QianSheng Cheng:
IMMC: incremental maximum margin criterion.
725-730
Electronic Edition (ACM DL) BibTeX
- Liang Huai Yang, Mong-Li Lee, Wynne Hsu, Xinyu Guo:
2PXMiner: an efficient two pass mining of frequent XML query patterns.
731-736
Electronic Edition (ACM DL) BibTeX
- Lei Yu, Huan Liu:
Redundancy based feature selection for microarray data.
737-742
Electronic Edition (ACM DL) BibTeX
- ChengXiang Zhai, Atulya Velivelli, Bei Yu:
A cross-collection mixture model for comparative text mining.
743-748
Electronic Edition (ACM DL) BibTeX
- Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanzode:
A data mining approach to modeling relationships among categories in image collection.
749-754
Electronic Edition (ACM DL) BibTeX
- Zhiqiang Zheng, Balaji Padmanabhan, Haoqiang Zheng:
A DEA approach for model combination.
755-760
Electronic Edition (ACM DL) BibTeX
- Michael Yu Zhu, Lei Liu:
Optimal randomization for privacy preserving data mining.
761-766
Electronic Edition (ACM DL) BibTeX
Industry/government track posters
- Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko:
Cross channel optimized marketing by reinforcement learning.
767-772
Electronic Edition (ACM DL) BibTeX
- Selim Aksoy, Krzysztof Koperski, Carsten Tusk, Giovanni B. Marchisio:
Interactive training of advanced classifiers for mining remote sensing image archives.
773-782
Electronic Edition (ACM DL) BibTeX
- Christian Borgs, Jennifer T. Chayes, Mohammad Mahdian, Amin Saberi:
Exploring the community structure of newsgroups.
783-787
Electronic Edition (ACM DL) BibTeX
- Erick Cantú-Paz, Shawn Newsam, Chandrika Kamath:
Feature selection in scientific applications.
788-793
Electronic Edition (ACM DL) BibTeX
- Ian Davidson, Ashish Grover, Ashwin Satyanarayana, Giri Kumar Tayi:
A general approach to incorporate data quality matrices into data mining algorithms.
794-798
Electronic Edition (ACM DL) BibTeX
- Nicolás de Abajo, Alberto B. Diez, Vanesa Lobato, Sergio R. Cuesta:
ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study.
799-804
Electronic Edition (ACM DL) BibTeX
- Jayant Kalagnanam, Moninder Singh, Sudhir Verma, Michael Patek, Yuk Wah Wong:
A system for automated mapping of bill-of-materials part numbers.
805-810
Electronic Edition (ACM DL) BibTeX
- Satoshi Morinaga, Kenji Yamanishi:
Tracking dynamics of topic trends using a finite mixture model.
811-816
Electronic Edition (ACM DL) BibTeX
- Takayuki Nakata, Jun-ichi Takeuchi:
Mining traffic data from probe-car system for travel time prediction.
817-822
Electronic Edition (ACM DL) BibTeX
- Carlos Ordonez:
Programming the K-means clustering algorithm in SQL.
823-828
Electronic Edition (ACM DL) BibTeX
- Dmitry Pavlov, Ramnath Balasubramanyan, Byron Dom, Shyam Kapur, Jignashu Parikh:
Document preprocessing for naive Bayes classification and clustering with mixture of multinomials.
829-834
Electronic Edition (ACM DL) BibTeX
- Young Truong, Xiaodong Lin, Chris Beecher:
Learning a complex metabolomic dataset using random forests and support vector machines.
835-840
Electronic Edition (ACM DL) BibTeX
- David S. Vogel, Morgan C. Wang:
1-dimensional splines as building blocks for improving accuracy of risk outcomes models.
841-846
Electronic Edition (ACM DL) BibTeX
- Adam Yeh, Jonathan Tang, Youxuan Jin, Sam Skrivan:
Analytical view of business data.
847-852
Electronic Edition (ACM DL) BibTeX
Copyright © Sat May 16 23:27:57 2009
by Michael Ley (ley@uni-trier.de)
